HONOR FRI-GXXXA
Geekbench AI Score
2634
Single Precision Score
2511
Half Precision Score
6017
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kosmilon |
| Upload Date | August 01 2025 12:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13420H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | HONOR FRI-GXXXA |
| Motherboard | HONOR FRI-GXXXA-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1557
289.6 IPS |
|
|
Image Classification (HP)
|
100% |
1048
194.9 IPS |
|
|
Image Classification (Q)
|
100% |
3818
710.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3932
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3103
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2617
3.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
6868
8.04 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
100% |
997
79.1 IPS |
|
|
Object Detection (Q)
|
88% |
2598
208.3 IPS |
|
|
Face Detection (SP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
10160
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4405
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4467
34.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11461
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9592
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9847
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33528
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1736
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6264
232.0 IPS |
|
|
Text Classification (SP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1912
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
3724
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2798
48.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2551
43.9 IPS |
